Dr Wang's research bridges Chinese language pedagogy and educational assessment with AI and NLP. Her research integrates Chinese corpus linguistics, lexis, and semantics with digital communication analysis. She pioneers AI-driven frameworks and methodological innovations for evaluating discourse performance, second-language acquisition, and multimodal computer-mediated communication across digital platforms.
Interested in collaboration on topics related to SLA, TBLT, Educational testing and Assessment, Communication, Social Media and NLP analyses of Chinese and English:

Natural Language Processing (NLP) and Large Language Models (LLM) Applications in Education
Technology-supported language assessment, Generative AI in language education, Fake news detection, discourse and digital humanity


2. Improve Student Writing (ISW): ISW is a Multi-layered Feedback AI tool designed for offering structured, multi-level feedback for guiding second language learners’ argumentative essay (Wang et al., in preparation; Chiu et al., in preparation).


3. Conversational Agreement and Rapport Analytics (CARA-NLP): A natural language processing (NLP) tool for evaluating agreement and rapport in conversations (e.g., IELTS speaking, Chiu et al., 2025; Lin et al., 2025)
4. A multi-agent system for multi-lingual fake news detection: A persona-based agent system of LLMs that emulate human judgement of fake news in four languages (English, French, Korean, and Chinese) of tweets (Chiu et al., 2025).
